title: A novel biometric authentication approach using electrocardiogram signals.
abstract: In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 subjects selected from the PTB database. This subset consists of 13 healthy and 17 non-healthy subjects who have two ECG records. The proposed biometric authentication approach achieves average frame recognition rate of %97.31 on the selected subset. Our experimental results imply that the frame recognition rate of the proposed authentication approach is better than that of ACDCT and MFCC based biometric authentication systems, individually.
authors.forename: Hakan
authors.initials: H
authors.lastname: Gürkan
authors.forename: Umit
authors.initials: U
authors.lastname: Guz
authors.forename: B S
authors.initials: BS
authors.lastname: Yarman
mesh_terms: D056667:Biometric Identification / Q000379:methods*; D016208:Databases, Factual; D004562:Electrocardiography; D006801:Humans; D012815:Signal Processing, Computer-Assisted